Numerical Simulation of Performance Improvement of Coherent LiDAR Based on SPGD Algorithm
Atmospheric turbulence can significantly impact the effectiveness of light detection and ranging (LiDAR) in long-range detection. A technique for wavefront correction, which is based on the stochastic parallel gradient descent (SPGD) optimization algorithm, is proposed. The method integrates coheren...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Photonics Journal |
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| Online Access: | https://ieeexplore.ieee.org/document/10738482/ |
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| _version_ | 1846161933807386624 |
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| author | Zhiyong Wu Jinbo Xue Wei Liu Dairan Jin Xingxin Fu Hongli Li Yixuan Tan Jingtai Cao |
| author_facet | Zhiyong Wu Jinbo Xue Wei Liu Dairan Jin Xingxin Fu Hongli Li Yixuan Tan Jingtai Cao |
| author_sort | Zhiyong Wu |
| collection | DOAJ |
| description | Atmospheric turbulence can significantly impact the effectiveness of light detection and ranging (LiDAR) in long-range detection. A technique for wavefront correction, which is based on the stochastic parallel gradient descent (SPGD) optimization algorithm, is proposed. The method integrates coherent detection theory with adaptive optics technology, effectively mitigating the adverse effects of turbulence. This work evaluates the suitability of the algorithm in coherent LiDAR through theoretical analysis and establishes the necessary theoretical relationships. Through numerical simulation, we assess its optimization ability for Strehl ratio (SR), bit error rate (BER), signal to noise ratio (SNR), and detection distance (DR). We also conduct a comprehensive analysis of the impact of the number of iterations of the algorithm affecting SR, SNR, and DR. This analysis provides robust data support for balancing the performance of the system. The results show that the corrected SR can reach 0.96, 0.88, and 0.75, the SNR can be improved by 7 dB, 16 dB, and 26 dB, and the DR can be improved by 8%, 17%, and 30% in gentle, moderate, and strong turbulence, respectively. |
| format | Article |
| id | doaj-art-f226e96efb454e589be6ec33e404adf3 |
| institution | Kabale University |
| issn | 1943-0655 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Photonics Journal |
| spelling | doaj-art-f226e96efb454e589be6ec33e404adf32024-11-21T00:00:10ZengIEEEIEEE Photonics Journal1943-06552024-01-011661710.1109/JPHOT.2024.348807310738482Numerical Simulation of Performance Improvement of Coherent LiDAR Based on SPGD AlgorithmZhiyong Wu0https://orcid.org/0000-0002-6527-5502Jinbo Xue1Wei Liu2https://orcid.org/0000-0001-8078-1879Dairan Jin3Xingxin Fu4Hongli Li5Yixuan Tan6https://orcid.org/0009-0008-3404-0218Jingtai Cao7https://orcid.org/0000-0002-7925-4905Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, ChinaCollege of Communication Engineering, Jilin University, Changchun, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, ChinaAtmospheric turbulence can significantly impact the effectiveness of light detection and ranging (LiDAR) in long-range detection. A technique for wavefront correction, which is based on the stochastic parallel gradient descent (SPGD) optimization algorithm, is proposed. The method integrates coherent detection theory with adaptive optics technology, effectively mitigating the adverse effects of turbulence. This work evaluates the suitability of the algorithm in coherent LiDAR through theoretical analysis and establishes the necessary theoretical relationships. Through numerical simulation, we assess its optimization ability for Strehl ratio (SR), bit error rate (BER), signal to noise ratio (SNR), and detection distance (DR). We also conduct a comprehensive analysis of the impact of the number of iterations of the algorithm affecting SR, SNR, and DR. This analysis provides robust data support for balancing the performance of the system. The results show that the corrected SR can reach 0.96, 0.88, and 0.75, the SNR can be improved by 7 dB, 16 dB, and 26 dB, and the DR can be improved by 8%, 17%, and 30% in gentle, moderate, and strong turbulence, respectively.https://ieeexplore.ieee.org/document/10738482/Atmospheric turbulenceLiDARSPGD optimization algorithmwavefront correction |
| spellingShingle | Zhiyong Wu Jinbo Xue Wei Liu Dairan Jin Xingxin Fu Hongli Li Yixuan Tan Jingtai Cao Numerical Simulation of Performance Improvement of Coherent LiDAR Based on SPGD Algorithm IEEE Photonics Journal Atmospheric turbulence LiDAR SPGD optimization algorithm wavefront correction |
| title | Numerical Simulation of Performance Improvement of Coherent LiDAR Based on SPGD Algorithm |
| title_full | Numerical Simulation of Performance Improvement of Coherent LiDAR Based on SPGD Algorithm |
| title_fullStr | Numerical Simulation of Performance Improvement of Coherent LiDAR Based on SPGD Algorithm |
| title_full_unstemmed | Numerical Simulation of Performance Improvement of Coherent LiDAR Based on SPGD Algorithm |
| title_short | Numerical Simulation of Performance Improvement of Coherent LiDAR Based on SPGD Algorithm |
| title_sort | numerical simulation of performance improvement of coherent lidar based on spgd algorithm |
| topic | Atmospheric turbulence LiDAR SPGD optimization algorithm wavefront correction |
| url | https://ieeexplore.ieee.org/document/10738482/ |
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